Substructure shape analysis for Kanji character recognition
Identifieur interne : 002739 ( Main/Exploration ); précédent : 002738; suivant : 002740Substructure shape analysis for Kanji character recognition
Auteurs : Jairo Rocha [Japon, Espagne] ; Hiromichi Fujisawa [Japon]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1996.
Abstract
Abstract: A method towards analytical recognition of Chinese characters is described. Basic character components (substructures) of any size are recognized anywhere on a Kanji string, even if they touch other components. The algorithm performs skeleton extraction, skeleton grouping, indexing of structural features on a previously generated look-up table, structural verification of hypothesis using model graphs, and geometrical verification by an array of neural nets, each one specialized on the geometry of each model. The system retrieves 98 % of substructures with 91% precision rate.
Url:
DOI: 10.1007/3-540-61577-6_37
Affiliations:
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